MEASURE Evaluation in Liberia
According to the Liberia Demographic and Health Survey 2007, the country’s maternal mortality ratio is one of the world’s highest, at 994 per 100,000 live births. And even though child mortality rates have declined significantly in the past decade, one in every nine children dies before the age of five, according to the same survey.
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MEASURE Evaluation began a new activity focusing primarily on maternal and child health in Liberia in 2011. According to the Liberia Demographic and Health Survey 2007, the country’s maternal mortality ratio is one of the world’s highest, at 994 per 100,000 live births. And even though child mortality rates have declined significantly in the past decade, one in every nine children dies before the age of five, according to the same survey.
Population
4,100,000
Population Growth Rate
2.663%
Age Structure
44.3% (0–14 years)
52.7% (15–64 years)
2.9% (65 years and over)
Death Rate
11 deaths/1,000 population
MALARIA-RELATED DATA
Population Living in Areas At Risk for Malaria
100%
Children (< 5 Years) Infected with Malaria Parasite
66% (2006)
Malaria-Attributed Outpatient Attendance
40–45%
Households with Mosquite Bednet
30% (2007)
OTHER RELEVANT DATA
Infant Mortality Rate
95 infant deaths/1,000 live births
Total Fertility Rate
5.9 children born/woman
Maternal Mortality Ratio
994 maternal deaths/100,000 live births (2008)
Lot Quality Assurance Sampling
MEASURE Evaluation began providing technical assistance to the USAID mission in Liberia for a pilot test to collect annual health behavior and health outcome monitoring data using Lot Quality Assurance Sampling (LQAS). The purpose of the LQAS tool is to provide information on key health indicators in order to make programmatic decisions. Furthermore, the implementation process is intended to build local capacity in Liberia to monitor health outcomes.
LQAS is considered a relatively rapid and inexpensive approach to data collection in lieu of traditional surveys. It allows for small sample sizes and more frequent sampling than standard probability surveys. In the LQAS application, a pre-defined area is divided into lots, or “supervision areas”, and sampled. The sample from each supervision area is then compared to a target. If the sample shows acceptable performance, the indicator is deemed as acceptable for that supervision area. If not, then the indicator is not performing acceptably, and the supervision area can be flagged.
The LQAS activities are centered in the counties located in Liberia’s development corridor, and most of the activity took place between January and June 2011. For the next implementation, the focus will on capacity building at the Ministry of Health so that they can carry out LQAS independently.
